413 results about "Spectrum sharing" patented technology

Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.

The invention discloses a heterogeneous multi-agent entropy regularization resource allocation method for dynamic spectrum sharing, which belongs to the technical field of wireless network communication, and comprises the following steps: loading a basic trainer, and managing subsequent reinforcement learning; the method comprises the following steps: constructing a simulation environment, establishing a mathematical model, initializing parameter analysis, constructing a training environment and an evaluation environment, and creating an intelligent agent; generating initial empirical data by using a random strategy, filling an empirical playback buffer area, returning to a final state after a preset preheating step number is reached, and performing formal training to sample data from the empirical playback buffer area to update a network; starting a formal training process, interacting the intelligent agent with the environment, and storing empirical data to a buffer area; the strategy network is optimized through the strategy gradient, and the evaluation network is optimized through the TD error. By the adoption of the method, the problem of performance bottleneck caused by the fact that the strategy is converged to be suboptimal in spectrum allocation of a traditional DRL method is solved, and resource allocation efficiency close to global optimum is achieved through random strategy optimization.

The invention provides a cognitive unmanned aerial vehicle network spectrum sharing method based on multi-agent reinforcement learning. The method comprises the implementation steps that a cognitive unmanned aerial vehicle network model and a cognitive unmanned aerial vehicle network and multi-agent reinforcement learning interaction network model are constructed; obtaining a training data set and defining a reward function; and carrying out iterative training on the interactive network model. In the process of training the interactive network model, the multiple agents interact with the cognitive unmanned aerial vehicle network in real time through reinforcement learning, spectrum resource allocation can be adaptively adjusted according to the communication requirement of each cognitive unmanned aerial vehicle and the dynamic change of the environment, and the spectrum resource allocation efficiency is improved. And the loss of the local Q network in each time step is calculated according to the target Q value corresponding to each experience calculated by calculating the reward of interaction between each Q agent and each environment state through the throughput of each cluster member on each channel, so that the resource waste is reduced, the spectrum conflict is avoided, and the maximization of the network throughput is realized. Therefore, the spectrum utilization rate is effectively improved.

Systems and methods are disclosed for radio resource arbitration for spectrum sharing between different Radio Access Technologies (RATs). In one embodiment, a method performed by a network node for radio resource arbitration for spectrum sharing between a first RAT and a second RAT comprises, for a non-Multicast Broadcast Single Frequency Network (MBSFN) subframe, determining whether non-latency-sensitive traffic for the first RAT can be delayed to one or more next MBSFN subframes and, upon determining that non-latency-sensitive traffic for the first RAT can be delayed, determining an amount of non-latency-sensitive traffic for the first RAT to be delayed until the one or more next MBSFN subframes. By leveraging the results of this determining, improved spectral efficiency and throughput can be achieved.

The invention discloses an inter-satellite link secure transmission method based on a hybrid covert strategy, and belongs to the field of electronic communication. According to the invention, more randomness and friendly interference are introduced from three layers of a network layer, an MAC layer and a physical layer, and potential eavesdroppers are confused; in a network layer, a random routing unit is adopted, a plurality of routing paths meeting communication requirements are dynamically selected to replace a single optimal path, and a selection probability is distributed to each routing path according to routing metrics. In the MAC layer, the spectrum sharing technology is utilized to distribute less power for the information needing to be hidden, so that the signal detection probability is reduced, and the communication security is improved. In a physical layer, a rate division multiple access unit and a superposition coding technology are adopted, so that a plurality of users can efficiently share the same time-frequency resource at the same time. According to the invention, the communication efficiency can be improved, and the transmission randomness and complexity can be further improved, so that the communication security is enhanced.

Embodiments of the present application provide a method and apparatus for spectrum sharing between network technologies. The method includes: receiving first indication information, where the first indication information indicates a mode among multiple modes, the multiple modes include a first mode, and a first set of configurations associated with the first mode includes part or all of a second set of configurations associated with a second radio access technology; and communicating based on the first indication information. The multiple terminal devices associated with different technologies may co-exist better.

The invention relates to a high-performance cooperative sensing and resource allocation method suitable for hybrid spectrum sharing, which belongs to the field of signal processing, and comprises the following steps: carrying out system modeling and defining key parameters; an energy efficiency optimization model under multi-dimensional constraints is obtained by constructing a target function and multi-dimensional constraint conditions; designing a cooperative sensing mechanism for resisting control channel errors through an improved hard decision fusion rule; the target function is converted into a parameterized subtraction form, and the optimal sensing duration and the number of cooperative nodes are solved through a two-stage optimization algorithm; and dynamic parameter configuration and real-time optimization are carried out through environment perception and parameter prediction. According to the method, sensing duration, cooperation scale and power parameters are jointly optimized, limitation of traditional fixed configuration is broken through, and dynamic balance of spectrum detection precision, transmission efficiency and energy consumption economy is achieved; a dual-power-level adaptive switching mechanism maximizes the frequency spectrum access opportunity and minimizes the interference to the master device at the same time.

The invention discloses a multi-band electromagnetic compatibility evaluation method and system in a combat scene, and the method comprises the steps: calculating the spectrum occupancy probability distribution of an enemy through constructing a spectrum occupancy probability model in a non-cooperative confrontation environment; establishing a multi-band electromagnetic compatibility matrix, and calculating an optimal spectrum allocation scheme by applying a dynamic spectrum allocation algorithm; calculating the overall electromagnetic compatibility of the system based on the compatibility score of the equipment and the frequency band and the frequency spectrum occupation risk of the enemy; according to the electromagnetic environment change threshold value, the spectrum occupancy probability model is updated regularly, and dynamic evaluation of the multi-band electromagnetic compatibility is achieved; according to the invention, under the condition of non-cooperative spectrum sharing, mutual interference between our equipment and enemy spectrum occupation risks are comprehensively considered, real-time dynamic evaluation of electromagnetic compatibility in a combat scene is realized, and effective support is provided for battlefield spectrum resource management and command decision.

The invention discloses a dynamic spectrum sharing method based on a joint neural network, and belongs to the field of spectrum prediction methods. Aiming at the problems of low utilization rate and lack of spectrum resources and how to obtain the spectrum resources, the invention provides a dynamic spectrum sharing method based on a joint neural network, and the method comprises the steps: improving an LSTM recurrent neural network, and extracting the features of time sequence data; designing a spectrum sensing model based on the combination of a long and short term memory network LSTM and a recurrent neural network RNN; designing a time sequence prediction model based on a BP neural network and a GRNN neural network; and the accuracy of spectrum prediction is improved by using data detected by spectrum sensing, so that the spectrum utilization rate is enhanced, and the dynamic spectrum access is better completed. According to the method, the long-standing dependency problem in the RNN model is solved, and the risk of historical information loss caused by long distance is weakened, so that the accuracy of a trend prediction result of a future spectrum is improved.

The invention discloses a distributed MIMO (Multiple Input Multiple Output) integrated system and method based on a reconfigurable notch chaotic optoelectronic oscillator, belongs to the field of microwave photons, and solves the problems of spectrum resource conflict, difficulty in multi-node synchronization, discrete inductance functions and the like. According to the system, a plurality of independent chaotic OEOs are combined with an optical frequency comb to drive an FIR filtering effect, MIMO chaotic signals with reconfigurable notch frequency points and quantity are generated, and dynamic allocation of spectrum resources is realized. The notch frequency band is used as a communication channel embedded modulation signal, and supports multi-spectrum sharing with 2.4 G, 5G, Wi-Fi and the like; a non-notch frequency band is reserved as a radar signal, and the range resolution is improved by using the broadband characteristic of the chaotic waveform. The star topology optical network expands the coverage area of a distributed system, and a centralized processing architecture reduces the complexity of multi-node collaboration. The invention provides an integrated solution of high-precision environment perception and high-reliability communication for smart cities, Internet of Vehicles and the like, and is suitable for dense urban areas with resource shortage and dynamic multi-service environments.

Mechanisms for directional channel occupancy monitoring for a frequency band among multiple networks are provided. In one aspect, a method of wireless communication includes monitoring, in a shared frequency band in a plurality of beam directions, for signals associated with one or more wireless networks different from the first wireless network. The monitoring includes: detecting, in the shared frequency band and in at least a first beam direction of the plurality of beam directions, a first signal associated with a second wireless network; and up-dating a channel occupancy list to indicate that at least a portion of the shared frequency band is occupied in at least the first beam direction. The method also includes transmitting, in the shared frequency band, a second signal in a second beam direction of the plurality of beam directions based on the channel occupancy list.

The invention discloses a 5G base station energy efficiency optimization method and system based on dynamic spectrum sharing. The method comprises the following steps: S1, sensing user load distribution, service types and channel state information in a base station coverage area in real time; s2, dynamically allocating a shared spectrum resource pool composed of an authorized frequency band and an unauthorized frequency band according to the user load distribution and the service type; and S3, generating a spectrum allocation proportion and transmitting power joint optimization instruction based on a reinforcement learning algorithm. By dynamically fusing authorized and unauthorized spectrum resources and combining real-time service load awareness and reinforcement learning decision mechanisms, joint improvement of spectrum efficiency and energy consumption efficiency is realized on the premise of ensuring service quality. The prediction model embedded in the method can pre-judge network flow fluctuation in advance, symbol-level fine-grained energy-saving control is matched, the conflict between communication performance and equipment power consumption is effectively balanced, and the method is particularly suitable for heterogeneous network scenes with uneven user distribution and complex service types.

The invention provides a spectrum sharing method and device and a medium, and relates to the technical field of communication. The method comprises the following steps: allocating, regulating and controlling a cross-operator sharable spectrum according to a dynamic prediction strategy and an interference suppression strategy; generating a spectrum sharing smart contract and uploading the spectrum sharing smart contract to the block chain, wherein the spectrum sharing smart contract comprises a sharable time period, a sharable area, an adaptive service type, a frequency band and a sharing price mechanism of each sharable spectrum; and the blockchain receives the spectrum sharing request and matches the sharable spectrum for the spectrum sharing request according to the spectrum sharing smart contract. Through a dynamic prediction strategy and an interference suppression strategy, cross-operator sharable frequency spectrums are allocated, regulated and controlled, supply and demand matching and charging of frequency spectrum sharing are realized through a block chain smart contract, a dynamic adjustment allocation scheme is adopted, idle frequency spectrums of multiple operators are cooperatively integrated, optimal allocation of frequency spectrum resources is realized, and interference is dynamically suppressed. And a block chain smart contract is introduced, so that the spectrum sharing scene adaptation capability is improved.

The present disclosure relates to a spectrum sharing method that can prevent jamming attacks and frequency interference through frequency hopping when operating multiple units simultaneously in a non-terrestrial network. The spectrum sharing method through frequency hopping according to an embodiment of the present disclosure is a spectrum sharing method through fast frequency hopping (FFH) in a plurality of cells assigned with different frequencies, the spectrum sharing method including: identifying occupied frequencies assigned to a cell at which a communication unit is positioned and at least one adjacent cell, respectively; and changing collision frequencies matching the occupied frequencies in a preset hopping pattern in the communication unit to a frequency that is not the occupied frequencies.

A virtual fiber communication system includes a central cloud server that obtains telemetry information from network nodes of wireless backhaul mesh network. The telemetry information includes spectrum occupancy information and UE positioning information. The central cloud server obtains, via blockchain-based spectrum broker nodes, frequency spectrum availability metadata and custom-defined spectrum access parameters of spectrum owner nodes. The central cloud server detects spectrum availability variations across network nodes and determines different routing paths for the first type of UEs designated as premium users. Based on the detected spectrum availability variations across the network nodes and the determined different routing paths, control signals are generated and communicated to the network nodes to assign data streams onto rented or leased spectrum frequencies. One of the determined routing paths is selected for delivery of the data streams to the first type of UEs to meet the custom-defined spectrum access parameters.

A method and apparatus are disclosed for rate matching. In one embodiment, a user equipment is configured to receive at least two physical downlink shared channels, PDSCHs; a first PDSCH of the at least two PDSCHs being associated with a first set of cell-specific reference signal, CRS, patterns and a second PDSCH of the at least two PDSCHs being associated with a second set of CRS patterns; and the at least two PDSCHs being rate matched around at least one of the first set of CRS patterns and the second set of CRS patterns. In another embodiment, a network node is configured to transmit the at least one PDSCH of at the least two PDSCHs; and the at least two PDSCHs being rate matched around at least one of the first set of CRS patterns and the second set of CRS patterns.

Disclosed is a method comprising receiving a first set of fronthaul data associated with a first radio access technology; receiving a second set of fronthaul data associated with a second radio access technology different from the first radio access technology; and determining based at least on the first set of fronthaul data and the second set of fronthaul data, whether to utilize one or more radio chains of at least two radio chains for spectrum sharing between at least the first radio access technology and the second radio access technology.

This disclosure provides approaches for enhancing the efficiency of dynamic spectrum sharing and carrier aggregation in 6G and later networks. The proposed methods and apparatuses allow for the configuration of control and data channels to accommodate multiple non-contiguous sub-bands with different numerologies within a virtual cell. Methods of wireless communication performable at a User Equipment (UE) are accordingly provided which enable the UE to obtain a configuration of a control channel or a data channel in a cell, and receive or transmit information in at least one of the control channel or the data channel based on the configuration. The cell includes a plurality of non-contiguous frequency bands associated with different numerologies. The control channel or the data channel may be allocated in the non-contiguous frequency bands associated with a single numerology of the different numerologies, or the non-contiguous frequency bands associated with each numerology of the different numerologies.

Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for measurement and initial access for sharing spectrum between mobile network operators.

A wireless transmit receive unit (WTRU) may be configured to monitor physical downlink control channel (PDCCH) candidates of a primary cell (PCell) and a secondary cell (SCell). The WTRU may be configured to determine a time duration for PDCCH candidate budgets for a set of symbols based on a subcarrier spacing associated with the PCell and a subcarrier spacing associated with the SCell. The WTRU may be configured to determine a maximum number of PDCCH candidates to allocate to a search space monitoring occasion of the PCell and the SCell. The maximum number of PDCCH candidates may be based on a per-cell ratio. The WTRU may be configured to allocate PDCCH candidates for the search space monitoring occasion of the PCell and the search space monitoring occasion of the SCell based on the determined maximum number of PDCCH candidates. The WTRU may be configured to decode an allocated PDCCH candidate.

An apparatus comprises means for providing a first cell, the first cell being a dynamic spectrum sharing cell supporting at least a first radio access technology, in which at least one random access preamble is stored in the apparatus, the at least one random access preamble indicates a request to be redirected to a second cell supporting at least a second radio access technology; means for sending signaling information to the at least one user equipment via the first radio access technology, wherein the signaling information comprises information for establishing a connection to the second cell; means for receiving a random access preamble from the at least one user equipment via the first radio access technology, the random access preamble indicating a request for the user equipment to be redirected to a second cell supporting at least a second radio access technology; means for transmitting to the second cell an indication of a transition to an active state; and means for sending a random access preamble response to the user equipment via the first radio access technology, wherein the random access preamble response comprises signaling for redirecting the user equipment to camp on a second cell supporting at least a second radio access technology.

The invention relates to the field of wireless communication, and discloses an airport wireless access system and method fusing aviation 5G and WiFi, and the system comprises an aviation 5G communication module, a WiFi access module, a fusion control module, a multi-band antenna module, a network management platform and a security authentication module. According to the invention, dynamic allocation of aviation 5G and WiFi resources is realized through a dynamic spectrum sharing and time slot cooperation technology, and the problems of communication interference and resource competition in an airport high-density scene are solved; meanwhile, the network management platform can calculate the comprehensive load index based on the multi-dimensional data, namely the network state, the user access and the service quality, and finally dynamically adjust the spectrum allocation strategy and the time slot scheduling strategy according to the comparison condition of the comprehensive load index and the preset threshold interval, including light load capacity expansion, overload protection and steady state maintenance. Therefore, the reliability, the resource utilization rate and the user experience of the airport communication system are comprehensively improved.

Methods and systems for dynamic spectrum sharing between current cellular networks (e.g., Fifth Generation (5G) New Radio (NR) ) and emerging cellular network (e.g., Sixth Generation (6G) ) are described. The described embodiments improve the system capacity of the 6G system and ensure extended coverage of the 6G network, while also providing solutions for the smooth evolution of the 5G network to the 6G network. A example method of wireless communication, in accordance with the described technology, includes receiving, by a wireless device from a network node, a message comprising information indicative of an existence of a first resource for the 6G wireless system operating according to the 6G communication protocol, and performing, using the first resource, a transmission or a reception of a signal that is associated with the 5G wireless system operating according to the 5G communication protocol that is different from the 6G communication protocol.

Disclosed herein are systems, methods, and computer-readable media directed to a software application that may be downloaded to and executed on any type of end terminal (may also be referred to as a user equipment), through which UEs of heterogenous systems sharing a frequency band can inform each other and coordinate usage and transmission in the shared frequency band in a distributed and near real-time manner to avoid and minimize interference. This software application can provide an application-based approach for wireless spectrum management.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication associated with multiplexing uplink control information (UCI) on a physical uplink shared channel (PUSCH), wherein the indication is associated with multiple component carriers (CCs) on which respective PUSCH transmissions are to be performed; identify one or more CCs, of the multiple CCs, to which the indication applies; and selectively transmit the UCI via the PUSCH on a CC, of the one or more CCs, in accordance with the indication. Numerous other aspects are provided.

The invention relates to a frequency spectrum recommendation method based on a knowledge graph, and belongs to the field of wireless communication. The method comprises the following steps: S1, defining a knowledge system of a satellite-ground spectrum shared knowledge graph; s2, importing the satellite parameter library and the ground frequency spectrum use condition into a knowledge graph to form a satellite-ground frequency spectrum shared knowledge graph; s3, defining parameters of a Node2vec algorithm, and calculating an embedded vector; s4, carrying out embedded vector PCA dimension reduction; s5, constructing a similarity matrix S among the satellite nodes, wherein the similarity measure is Euclidean distance; s6, screening out node pairs of which the similarity S is greater than 0.9, and writing the node pairs back to the knowledge graph to create a recovery relationship; and S7, updating the knowledge graph and visualizing the recommendation list. According to the method, the frequency spectrum recommendation method is provided based on the knowledge graph and is applied to the satellite-ground integrated system, the satellite-ground frequency spectrum shares the knowledge graph to serve as graph structure input, similar satellites are found, ground frequency bands are recommended for the satellites, and therefore the frequency spectrum resource utilization rate is increased, and the frequency spectrum scarcity problem is solved.

The invention provides a novel networking frequency spectrum sharing method and system based on a convergence station and an AI base station, and aims to solve the interference problem existing in frequency spectrum sharing. The method comprises the following steps: determining a networking architecture based on a convergence station and an AI base station; according to the networking architecture, determining a networking system model based on a convergence station and an AI base station; the networking system model comprises a periodically updated wireless electromagnetic map; determining a resource configuration scheme of the current time slot according to a wireless electromagnetic map included in the networking system model; the resource configuration scheme of the current time slot is determined by taking maximization of the minimum terminal capacity in the networking architecture as a target; the terminal capacity represents the data transmission capability of the terminal; and according to the resource configuration scheme, determining an anti-interference scheme for reducing spectrum sharing interference in the current time slot.

The invention discloses a communication method and device, relates to the technical field of communication, and can improve the performance of communication systems when different communication systems share frequency spectrums. The method comprises the following steps: receiving first information from network equipment, and determining a time domain resource and a frequency domain resource which are not used for first channel transmission according to the first information; wherein the first information is used for indicating a time domain resource and a frequency domain resource which are not used for first channel transmission; the first information indicates that the frequency domain resources not used for the first channel transmission comprise one or more subcarriers not used for the first channel transmission in one or more RBs (Resource Blocks) indicated by the first information; the first channel is a physical uplink shared channel or a physical downlink shared channel.

The invention provides an air-space-ground-sea multi-domain network intelligent cooperation system and method, and belongs to the technical field of communication networks. The system collects heterogeneous network data through a multi-domain sensing layer, and constructs a digital twinborn body by using quantum reinforcement learning to realize network state prediction; semantic analysis is adopted to convert user intentions into a resource demand matrix, and non-orthogonal multiple access and dynamic spectrum sharing technologies are combined to realize joint optimal allocation of satellite-air-sea-ground resources. Compared with the prior art, the method has three advantages that 1) intention-driven intelligent resource scheduling is supported, and the service matching precision is improved by 40%; 2) cross-domain spectrum sharing is realized through federal learning, and the spectrum utilization rate reaches 92%; and 3) the transmission reliability in an anti-interference mode reaches 99.99%, and the system is suitable for emergency communication, ocean monitoring and other scenes.

Embodiments of the present application provide a method and apparatus for spectrum sharing between network technologies. The method includes: receiving indication information, in a first state, where the indication information indicates a mode among multiple modes, the multiple modes include a first mode, and a first set of configurations associated with the first mode includes part or all of a second set of configurations associated with a second radio access technology; and transitioning from the first state to the indicated mode. The multiple terminal devices associated with different technologies may co-exist better.